Lead Software Engineer, Data Infrastructure and Analytics

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September 26

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Serve Robotics

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Transport • Artificial Intelligence

Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.

51 - 200 employees

Founded 2017

🚗 Transport

🤖 Artificial Intelligence

💰 $30M Venture Round on 2023-08

📋 Description

• Design and scale systems that power Serve’s robotics data platform • Own the lifecycle of robot and cloud data and set technical direction for data infrastructure • Define and own the technical roadmap for the data infrastructure platform and make key architectural decisions • Develop and maintain the resilient data offload system to meet SLAs and optimize depot bandwidth • Drive creation of a centralized cloud Orchestrator service to manage bandwidth, prioritize data events, and coordinate offload activities across the fleet • Build and maintain analytics pipelines to ingest and transform robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt • Implement system resiliency and monitoring, including automatic rollover and data integrity verification • Mentor engineers, foster best practices in system design, coding, and operational excellence • Enable real-time robotics operations and analytics at scale

🎯 Requirements

• 8+ years of professional software engineering experience • At least 2 years in a technical leadership or lead engineer role • Experience building large-scale distributed systems handling petabytes of data per day • Proficiency in at least one of Python, Go, or C++ • Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.) • Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization • Strong architectural skills to design scalable, reliable, and maintainable systems • Demonstrated ability to lead technical projects from conception to production • Excellent mentorship skills and passion for growing team capabilities • Strong communication skills and ability to drive alignment across multiple teams • Experience in robotics, IoT, or similar field involving data offload from fleets of edge devices (preferred) • Hands-on experience with data transformation and modeling tools like dbt (preferred) • Familiarity with containerization and orchestration technologies (Docker, Kubernetes) (preferred) • Experience designing systems resilient to network failures and other real-world interruptions (preferred)

🏖️ Benefits

• Offers Equity • Remote work (USA (remote); Ottawa (remote), Toronto (remote), British Columbia (remote), Montreal (remote))